In this paper, we focus on the application of population genomics, including next-generation sequencing and demographic modeling, to enhance the understanding of historical and contemporary trophic level interactions that are a fundamental basis of biological control.We outline how the integration of ecological approaches with population genomics a
Background.The growing interest in the brain clearance system in the last decade has led to great insights into how waste clearance via perivascular spaces acts like a lymphatic-like system.However, most of these observations have been done in rodent studies, often with invasive techniques.When aiming to understand the human brain clearance system,
Abstract Background Highly pathogenic avian influenza (HPAI) H5N1 virus is entrenched in poultry in Asia and Africa and continues to infect humans zoonotically causing acute respiratory disease syndrome and death.There is evidence that the virus may sometimes spread beyond respiratory tract to cause disseminated infection.The primary target cell fo
In this paper, we propose a new approach for learning node embeddings for weighted undirected networks.We perform a random walk on the network to extract the latent structural information and perform node embedding learning under a similarity-based framework.Unlike previous works, we apply a different criterion to capture the proximity information
The objective of this work is to improve certain physical properties of the polymer Carboxymethylcellulose (CMCHV).The samples were prepared by adding sodium chloride and Zinc oxide nanoparticles to Scrappers CMCHV solutions at different weights (0.00, 0.75, 1.50, 2.25, 3.00 g). When samples are exposed to heat,